Sleep Quality In College Students Research Articles

Vulnerability and academic burnout in the university context: Interaction events, social exchanges, and resilience behaviours

AbstractThis study focuses on how levels of burnout impact on the quality of sleep and academic performance of university students. Previous research has found limited evidence on the prevalence of burnout in university students, in addition to the relationship between exhaustion behaviours and sleep quality. The social exchange theory (SET) is important for understanding how the various actors in that context behave and with what effect on their social exchanges, here, specifically, verifying academic burnout and its perception by students and institutions themselves. Research has not sufficiently addressed the examination of burnout and forms of coping in that context. The data for this study were collected during the 2023 academic year, through an online survey, from 311 Portuguese university students from different undergraduate courses, without children and without student‐worker status, aged between 18 and 38 (M = 21.58 and DP = 3.20). The results showed a high‐negative correlation between burnout and sleep quality in university students with a direct impact on academic performance (burnout rates and poor sleep quality are associated with low academic performance scores, regardless of the course attended). This research and its results make a contribution that directs the management of university and specifically of courses towards a greater awareness of the existence of burnout and well‐complied sleep schedules by students. Given the evidence that there is a deficit in sleep quality caused by burnout in university students, resilience in this context is one of the aspects that deserve further research, in order to prevent burnout, poor sleep quality, and consequently, control of academic grades.

The relationship between neural processing efficiency during inter-hemispheric transfer, alcohol consumption, and sleep quality in college students: an ERP study

Objective: To examine relationships between sleep, alcohol consumption, and a physiological and behavioral marker of cognitive function in college students. College students are in a high risk category for high alcohol consumption and poor sleep quality, two unhealthful behaviors which can lead to poor mental health outcomes and compromised academic performance. Participants: Thirty college students from a large midwestern institution. Methods: Participants performed an interhemispheric transfer task while their electroencephalography was recorded for later examination of event-related potentials. They were also administered the Pittsburgh Sleep Quality Index, the Alcohol Use Disorders Identification Test, and the Alcohol Timeline Follow-Back. Results: Results demonstrate that increased alcohol consumption is associated with poor right-to-left interhemispheric transfer performance, and increased frontal P1 ERP amplitudes to neuro-ipsilateral targets requiring an interhemispheric-transfer. Conclusions: These findings assist in furthering explorations into the impacts of unhealthy behaviors in college students and underlying markers of simple cognitive and behavioral function.

Prevalence and relevant factors of nocturia and its impact on sleep quality in Chinese university students

The purpose of this study was to investigate the prevalence and relevant factors of nocturia and its impact on sleep quality in university students in Mainland China. A large-scale survey was conducted on 14,000 university students from 3 universities in Henan province, China by using an anonymous questionnaire. The questionnaire collected the information from the past six months. The relationships between the prevalence of nocturia and its relevant factors were evaluated. A total of 13,874 questionnaires were collected and 13,104 qualified for statistical analysis. A total of 659 students suffered from clinically relevant nocturia (CRN) (4.56% in male and 5.34% in female). Both univariate analysis and the logistic stepwise regression model showed that the prevalence of nocturia was significantly related to female, history of enuresis, ease of waking up, urgency, frequency and RUTI (P < 0.05). The sleep quality and the university entrance score of CRN group was significantly lower than that of control group (P < 0.05). Nocturia was common in Chinese university students and showed a negative impact on sleep and academic performance. Gender of female, history of enuresis, ease of waking up, urgency, frequency and RUTI were relevant factors for CRN.

Adherence to Mediterranean Diet and Sleep Quality in University Students

A healthy diet is an important supporter of quality of life. Food is a basic human right. Sleep, like food, is an indispensable part of life. A healthy diet and quality sleep can contribute to our health and well-being. This study was conducted to determine the adherence to the Mediterranean diet and the sleep quality of university students. The study was carried out on 480 people, 331 women and 149 men, who were studying at Higher Education Institutions in the Republic of Türkiye and voluntarily accepted to participate in the study. The demographic characteristics of the individuals, smoking, alcohol and caffeinated beverage use, and dietary habits were questioned with a questionnaire. The Mediterranean Diet Adherence Scale (MEDAS) was used to assess adherence to the Mediterranean diet, and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Participants were made up of 69.0% (n=331) females and 31% (n=149) males. The average age; was 21.00±2.853, mean body mass index was 21.23±4.921 kg/m2 in women; in males, it was found to be 24±3.223 kg/m2. Adherence to the Mediterranean diet of the participants was 47.3% (n=227) below 7 points, which was insufficient adherence, 27.1% (n=130) were within the range of 7-8 points, which was acceptable adherence, and 25.6% (n=123) It was found above 9 points, which is strict adherence. Again, the average PSQI score of the participants is 6.29±3.06, the average PSQI score of women is 6.33±2.93 while the average PSQI score of men is 6.19±3.36. There was no significant difference between the PSQI scores of women and men (p&gt;0.05). Sleep and nutritional status have many effects on health. For this reason, training should be given to individuals to increase the sleep quality of the students and to improve their nutritional status.

A prospective study of sleep status, anxiety, and depression levels of college students at a university in Shandong Province, China.

To investigate the changes in sleep conditions, anxiety, and depression levels among college students before and after entering the university. Utilizing a random sampling method, 692 new students from a college in Shandong province were selected in September 2019, and relevant indices were statistically analyzed in September 2021 following a comprehensive follow-up. Sleep status, anxiety, and depression levels were assessed using the Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 (GAD-7), respectively. Gender, passive smoking, exercise, intake of fruits, and intake of seafood were identified as significant influencing factors on college students' sleep status, anxiety, and depression levels (p < 0.05). A substantial difference was observed in the sleep quality of college students between the early enrollment stage and the follow-up stage (p < 0.05). Moreover, a significant positive correlation was found between PSQI scores and the levels of anxiety and depression (p < 0.05), cumulatively explaining approximately 10% of the variance in anxiety and depression levels. The sleep quality of college students exhibited significant improvement after enrollment compared to the early enrollment period. Engaging in appropriate exercise and consuming fruits and seafood demonstrated a positive impact on sleep conditions, anxiety, and depression levels. These findings underscore the importance of fostering healthy lifestyle habits for promoting overall well-being among college students.

Exploring the Relationship Between E-Cigarette Use Patterns and Sleep Quality in College Students (P9-9.007)

Exploring the Relationship Between E-Cigarette Use Patterns and Sleep Quality in College Students (P9-9.007)

Investigating the Prevalence of Stress and its Relationship with Sleep Quality in University Students: A Study in Iran

Introduction: Students are willing to cut back on sleep in order to adapt and cope with their stressful work load and environment. This study examines the prevalence of stress and its relationship with sleep quality. Methods: This cross-sectional study was conducted using available sampling of male and female students of the Nursing and Midwifery Faculty of Jundishapur University of Medical Sciences, Ahvaz in 2022. Pittsburgh Sleep Quality Questionnaire was used to measure sleep quality and Kessler Psychological Distress Scale Questionnaire was used to measure stress. Results: The prevalence of all levels of stress among students was 53.2% (140 people). 61 people (23.2%) experienced mild stress, 35 students (13.3%) experienced moderate stress, and 44 students (16.7%) experienced severe stress. The average score of Kessler's psychological distress (K10) of the participants was 21.9 ± 7.3 (maximum = 50). No significant relationship was observed between stress and gender (p=0.25) and academic year (p=0.72). There was a statistically significant relationship between sleep quality and stress (p &lt; 0.001). Conclusion: This study reports the high prevalence of stress and poor sleep quality in students of Ahvaz College of Nursing and Midwifery. This study shows a strong connection between sleep quality and stress.

An investigative study of anxiety, depression and sleep quality in college students after the COVID-19 pandemic - the moderating effect of physical activity

To explore the current situation of anxiety, depression and sleep quality among college students after the COVID-19 pandemic, as well as the moderating effect of physical activity on negative emotions, and to provide a theoretical basis for colleges and universities to formulate corresponding interventions. An online cross-sectional questionnaire survey was carried out by convenience sampling method on 801 college students from China through the General Information Questionnaire (GIQ), Anxiety Self-Rating Scale (ASRS), Depression Self-Rating Scale (DSRS), Pittsburgh Sleep Quality Index Scale (PQIS), and Physical Activity Rating Scale (PARS). Data were analysed using SPSS 25.0 software and Pearson correlation was used to explore the correlations between variables. The scores of anxiety, depression, sleep quality, and physical activity level of the 801 college students included in the study after the Covid-19 pandemic were 37.15, 40.93, 2.9, and 14.44, respectively; and the detection rates of anxiety symptoms, depressive symptoms, and sleep disorders were 41.09%, 42.89%, and 30.82%, respectively. The detection rate of negative emotions was significantly higher in females than in males, and the senior group was significantly higher than the junior group in terms of depression and anxiety symptoms. The amount of physical activity of college students was significantly negatively correlated with anxiety (r=-0.691, P&lt;0.001), depression (r=-0.767, P&lt;0.001), and sleep quality (r=-0.814, P&lt;0.001); anxiety was positively correlated with depression (r=0.622, P&lt;0.001) and sleep quality (r=0.598, P&lt;0.05); and positive correlation between depression and sleep quality (r=0.512, P&lt;0.05). After the Covid-19 pandemic, college students showed different degrees of anxiety, depression and sleep disorders, the appropriate frequency of exercise can effectively improve the negative emotions of college students, and colleges and universities should pay attention to guiding the students and give them enough care and support to improve their mental health status.

D Tipi Kişilik, Uyku Vaktini Erteleme ve Uyku Kalitesi Arasındaki İlişki

Background/Aims: Bedtime procrastination (BP) is an unhealthy sleep behavior, but its relationship with Type D (distress) personality has never been examined. This study aimed to investigate the relationship between Type D Personality, BP, and Sleep Quality in university students.&#x0D; Methods: In this cross-sectional study, we applied the sociodemographic sleep data form, Type D personality scale (DS-14), Bedtime Procrastination Scale (BPS), Pittsburgh Sleep Quality Index (PSQI) (subjective sleep quality and daytime dysfunction subscales), Insomnia Severity Index (ISI), and Epworth Sleepiness Scale (ESS). All participants were divided into two groups: Type D personality and non- Type D personality. Sleep variables and scales were compared between these two groups. Additionally, correlation analysis was performed between the scales and the subdimensions of Type D personality.&#x0D; Results: We completed our study with 209 university students (66%, n = 138 female and 34%, n=71 male). The mean age was 22.17 ± 4.33, and 51.2% of all participants had Type D personality. Sleep quality was poor, and insomnia was more severe in participants with Type D personality. Participants with Type D personality had more delayed bedtime. Negative affectivity was associated with poor sleep quality, more severe insomnia, and BP, but social inhibition was not associated with BP.&#x0D; Conclusion: Clinicians should consider the negative affectivity sub-dimension of Type D personality contributing to BP behavior among university students when planning interventions to reduce BP behavior.

Substance Abuse and Sleep Quality in University Students.

Substance abuse remains a challenging public health issue, especially among young people. It has been shown that poor sleep and substance abuse may have mutual intensifying effects. This study aimed to evaluate the rates of substance abuse, cigarette smoking, and alcohol consumption and their association with sleep disturbances among university students in 2021. The participants were the students of the Faculty of Sciences, University of Guilan, Iran in 2021. Data were collected through a researcher-made demographic questionnaire, the first two questions of the translated version of the World Health Organization (WHO) Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST), and the Pittsburgh Sleep Quality Index (PSQI). A total of 222 students entered the study from March to August 2021. The rates of substance abuse in the past three months and lifetime were 35.6% and 45.5%, respectively. The most common type of substance abuse was related to the 'other substances' category. Substance abuse was significantly higher in students living in dormitories and those with a family history of substance abuse. Poor sleep was found in 34.2% of the students, and substance abuse and alcohol consumption both in the past three months and lifetime were significantly associated with lower sleep quality. This study showed that substance abuse was significantly associated with sleep disturbances. The study results also illustrated an upward trend of substance abuse in recent years among students in Rasht, which may be related to economic issues in the country and/or the effects of the COVID-19 pandemic. Considering the rising prevalence of substance abuse and its impacts on society, policymakers are highly recommended to pay special attention to its risk factors.

Relationship between body fat percentage and sleep quality in university students with normal body mass index, 2015

Relationship between body fat percentage and sleep quality in university students with normal body mass index, 2015

Effect of Pink Noise on Sleep Quality of College Students

Purpose: Sleep is very important to modern people. Recently, various noises that help with sleep have been introduced. The present study attempted to analyze a positive effect of pink noise and sleep quality on college students with high stress regarding career and future employment.Methods: A total of 120 students with normal hearing were participated and randomly divided into three different pink noise types, which were sound of rain, sound of waves, and heart sound. They were asked to listen to the pink noise for an hour before going to sleep for 3 days. Korean version of Pittsburgh Sleep Quality Index (PSQI-K) was measured twice, before and after the experiment, to compare the subjects’ sleep quality after exposure to pink noise with their sleep quality in the everyday sleep environment.Results: With pink noise exposure, the PSQI-K scores were decreased from 5.94 to 2.85. In addition, there were significant differences in three sub-categories of the PSQI-K, i.e., subjective sleep quality, sleep disturbances, and daytime dysfunction with and without sleep-inducing noise. However, there was no statistically significant difference in PSQI-K scores between groups according to the three types of pink noise.Conclusion: Based on the current results, pink noise helped them sleep better although they are being exposed for a very short period. Since the current study collected data only from healthy college students, following research should be conducted to determine the effects of pink noise on sleep disorders.

Effect of short video addiction on the sleep quality of college students: chain intermediary effects of physical activity and procrastination behavior.

The purpose of this study was to examine the impact of short video addiction on college students' sleep quality and to elucidate the mechanism underlying this relationship. Thus, we examined the correlation between short video addiction and sleep quality and analyzed the roles of physical activity and procrastination. The Short Video Addiction Scale, Pittsburgh Sleep Quality Index, Aitken Procrastination Inventory, and Physical Activity Rating Scale were administered to 337 college students. Data were analyzed using SPSS 27.0. Pearson's correlation analysis and mediation analysis using the bootstrapping test were performed for the standard method bias test. (1) Overall, 25.2% of college students had problems with sleep quality (indicated by a PSQI score ≥ 8). (2) Short video addiction score is positively correlated with college students' sleep quality score; procrastination score was positively associated with both short video addiction score and sleep quality score, and physical activity score was negatively associated with them. (3) Short video addiction significantly positive predicted sleep quality (β = 0.458, P < 0.001), a significant negative predictive effect on physical exercise (β = -0.183, P < 0.001), and a significant positive effect on procrastination behavior (β = 0.246, P < 0.001). After physical exercise and procrastination behavior were entered into the regression equation, short video addiction and procrastination were significantly positive predictors of sleep quality, and physical activity was significantly negative predictor of sleep quality. (4) After accounting for the variables of age, gender, and grade, physical activity and procrastination behaviors independently mediated the association between short-video addiction and sleep quality. Physical activity and procrastination behavior acted as chain mediators in the association between short video addiction and sleep quality, with a chain mediation effect percentage of 1.04%. Short video addiction directly affects college students' sleep quality, indirectly through physical activity and procrastination behavior.

The Effect of Physical Activity on Sleep Quality Among Chinese College Students: The Chain Mediating Role of Stress and Smartphone Addiction During the COVID-19 Pandemic.

During the period of COVID-19 pandemic, the social restrictions and isolation exerted a significant impact on the sleep quality of Chinese college students. This study aims to delve into the influence of physical activity on the sleep quality of college students as well as the mediating roles of stress and smartphone addiction. A cohort of 274 eligible college students (146 males and 128 females) were selected for the investigation. The International Physical Activity Questionnaire Short Form, Stress Perception Scale, Smartphone Addiction Scale, and Pittsburgh Sleep Quality Index were employed to assess the levels of physical activity, stress, smartphone addiction, and sleep quality among college students. For data analysis, descriptive statistics, correlation analysis, and chained mediation effect tests were performed sequentially. The findings revealed: (1) a significant negative correlation between physical activity and stress, smartphone addiction, and sleep quality among college students (r = -0.216, p < 0.001; r = -0.224, p < 0.001; r = -0.259, p < 0.001); (2) independent mediating roles of stress and smartphone addiction in the relationship between physical activity and sleep quality; and (3) chained mediating effects of stress and smartphone addiction in the association between physical activity and sleep quality. This study deepens our comprehension of how physical activity augments the quality of slumber, concurrently emphasizing that mitigating stress levels and alleviating smartphone addiction constitute effective strategies for preventing sleep issues among college students.

Influence of smartphone addiction on sleep quality of college students: The regulatory effect of physical exercise behavior.

Due to the high incidence of smartphone addiction and its harmful effects on health in recent years, it has received widespread attention from society. This study aims to examine the association between smartphone addiction and sleep quality among college students, and assess the correlation with physical exercise in a non-interventional, cross-sectional study design. The study utilized data from the 2022 Chinese College Health Tracking Survey. A total of 4670 students participated in and completed the questionnaire. The test tools comprised the smartphone addiction tendency scale, the Pittsburgh Sleep Quality Index, and the physical activity rating scale. The average score of the college students' smartphone addiction was 39.230±14.931, and the proportion of college students with average and or very poor sleep quality was 52.6%. Mobile phone addiction among college students is negatively correlated with physical exercise (r = -0.101, p<0.01), and positively correlated with sleep quality (r = 0.287, p<0.01. Physical exercise had a significant regulatory effect on the behavior relationship between smartphone addiction and sleep quality (ΔR2 = 0.194, p<0.001). Smartphone addiction has a significant impact on college students' sleep quality. The higher the tendency towards smartphone addiction, the poorer the sleep quality of college students. Physical exercise plays a regulatory role in the relationship between smartphone addiction and sleep quality of college students.

Relationship of Cryptocurrency Use with Attention Deficit Hyperactivity Symptoms, Quality of Life and Sleep Quality in University Students

Relationship of Cryptocurrency Use with Attention Deficit Hyperactivity Symptoms, Quality of Life and Sleep Quality in University Students

The relationship between sleep quality and daytime dysfunction among college students in China during COVID-19: a cross-sectional study.

College Students' sleep quality and daytime dysfunction have become worse since the COVID-19 outbreak, the purpose of this study was to explore the relationship between sleep quality and daytime dysfunction among college students during the COVID-19 (Corona Virus Disease 2019) period. This research adopts the form of cluster random sampling of online questionnaires. From April 5 to 16 in 2022, questionnaires are distributed to college students in various universities in Fujian Province, China and the general information questionnaire and PSQI scale are used for investigation. SPSS26.0 was used to conduct an independent sample t-test and variance analysis on the data, multi-factorial analysis was performed using logistic regression analysis. The main outcome variables are the score of subjective sleep quality and daytime dysfunction. During the COVID-19 period, the average PSQI score of the tested college students was 6.17 ± 3.263, and the sleep disorder rate was 29.6%, the daytime dysfunction rate was 85%. Being female, study liberal art/science/ engineering, irritable (due to limited outdoor), prolong electronic entertainment time were associated with low sleep quality (p < 0.001), and the occurrence of daytime dysfunction was higher than other groups (p < 0.001). Logistics regression analysis showed that sleep quality and daytime dysfunction were associated with gender, profession, irritable (due to limited outdoor), and prolonged electronic entertainment time (p < 0.001). During the COVID-19 epidemic, the sleep quality of college students was affected, and different degrees of daytime dysfunction have appeared, both are in worse condition than before the COVID-19 outbreak. Sleep quality may was inversely associated with daytime dysfunction.

Effect of physical exercise on sleep quality in college students: Mediating role of smartphone use.

To investigate the effect of physical exercise on sleep quality and the mediating effect of smartphone use behavior in college students. A cross-sectional study design was adopted. An online survey of 5,075 college students was conducted using the Physical Activity Rating Scale-3, the Pittsburgh Sleep Quality Index, and the Mobile Phone Addiction Tendency Scale. The sleep quality of college students was poor, and the proportion of college students with good sleep quality was 23.567%. A significant correlation existed between sleep quality and physical exercise (r = -0.159, P < 0.001) and mobile phone addiction (r = 0.355, P < 0.001). Physical exercise can predict sleep quality in college students (β = -0.011, P < 0.001). Smartphone use plays a part in mediating the process by which physical exercise affects sleep quality. Chinese college students have poor sleep quality. Physical exercise and smartphone use behavior are important factors affecting the sleep quality of college students. Physical exercise can directly predict the sleep quality of college students and can predict the sleep quality of college students through the mediating effect of smartphone use behavior.

12주 필라테스 교양체육수업이 대학생의 신체구성, 신체활동 수준, 수면의 질에 미치는 영향

12주 필라테스 교양체육수업이 대학생의 신체구성, 신체활동 수준, 수면의 질에 미치는 영향

Increased Salivary IL-1 Beta Level Is Associated with Poor Sleep Quality in University Students.

Poor sleep quality is a major public health concern for all ages. In particular, university students often face stress levels and changes in social life habits that negatively influence their quality of sleep. This could be associated with psychological well-being in terms of anxiety and depressive symptoms, stress levels, and a poor self-perceived health status. The increases in the pro-inflammatory cytokine interleukin 6 (IL-6), IL-1 beta (IL-1β), and tumor necrosis factor alpha (TNFα), in blood have been linked to poor sleep quality in many diseases, but data on salivary cytokine levels in students are missing or are seldom analyzed. In this study we determined the quality of sleep in a sample of university students and the role of psychological assessment and factors affecting sleep (alcohol intake, tobacco, consumption of stimulant drinks, exercise, and body mass index). We also aimed to shed new light on the associations between sleep quality and salivary inflammatory cytokines (IL-1β, IL-6, and TNFα). Sleep quality was measured with the Athens Insomnia Scale (AIS) and Pittsburgh Sleep Quality Index (PSQI). Perceived stress was assessed using Cohen's Perceived Stress Scale (PSS), and the Goldberg Anxiety and Depression Scale (GADS) was used to assess the level of anxiety or depression. Perceived health status was measured with a visual analogue. Saliva samples was taken in the morning and the inflammatory cytokines was measured via enzyme-linked immunoassay. There was a direct and significant association between the salivary IL-1β concentration and AIS score (r = 0.248; p = 0.038, Pearson correlation) and Pittsburgh scale score (r = 0.274; p = 0.022, Pearson correlation). The relationship between IL-1β and AIS controlling for sex, age, and chronic disease, is still significant (r = 0.260; p = 0.033). The relationship between IL-1β and PSQI controlling for the influence of these variables is also significant (r = 0.279; p = 0.022). Salivary IL-1β concentrations were not significantly associated with any of the scores of the other psychological assessments (PSS, anxiety, depression symptoms, or self-perceived health). Salivary TNFα was significantly and inversely associated with self-perceived health (r = -0.259; p = 0.033, Pearson correlation), but the salivary IL-6 concentration was not associated with any of the sleep quality scale or psychological assessment scores. Our results provide a novel relationship between pro-inflammatory cytokine IL-1β in saliva and poor sleep quality. However, the role of inflammation in poor sleep quality requires further study to identify strategies that could lower inflammation and thus, likely improve sleep quality.